• DRQN (with LSTM)
• Distributed Experience Trajectories
• Quantile Networks (both implicit and explicit)
• Double Learning
• Hysteretic (supports annealing, toggled using hynamic_h param)
• Time Difference Likelihood!
• Risk Distortion

python main.py -n_quant 8 --env cmotp1 --likely 1 --distort_type wang

will train agents in cmotp1 environment with TDL turned on and wang as distortion function and using 8 quantile samples. See more parameters in main.py.

• Meeting-In-A-Grid - capture_target
• CMOTP - cmotp1, cmotp2, cmotp3
• Climb Game - climb_game
• Catch-Pig - pig